Overview

Dataset statistics

Number of variables17
Number of observations115
Missing cells397
Missing cells (%)20.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory137.1 B

Variable types

Numeric5
Text7
Categorical1
DateTime3
Unsupported1

Alerts

airdate has constant value ""Constant
id is highly overall correlated with id_embeddedHigh correlation
id_embedded is highly overall correlated with id and 1 other fieldsHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with typeHigh correlation
type is highly overall correlated with numberHigh correlation
type is highly imbalanced (78.3%)Imbalance
number has 6 (5.2%) missing valuesMissing
airtime has 77 (67.0%) missing valuesMissing
runtime has 6 (5.2%) missing valuesMissing
rating_average has 115 (100.0%) missing valuesMissing
medium has 63 (54.8%) missing valuesMissing
original has 63 (54.8%) missing valuesMissing
summary has 67 (58.3%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-06 02:59:19.659962
Analysis finished2023-08-06 02:59:23.169339
Duration3.51 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2458777.2
Minimum2383903
Maximum2609164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-08-05T21:59:23.258786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2383903
5-th percentile2400131
Q12453921.5
median2460301
Q32463464
95-th percentile2500274.2
Maximum2609164
Range225261
Interquartile range (IQR)9542.5

Descriptive statistics

Standard deviation29529.607
Coefficient of variation (CV)0.012009875
Kurtosis8.0755335
Mean2458777.2
Median Absolute Deviation (MAD)5964
Skewness1.3695553
Sum2.8275938 × 108
Variance8.7199769 × 108
MonotonicityNot monotonic
2023-08-05T21:59:23.419892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2455407 1
 
0.9%
2455131 1
 
0.9%
2453507 1
 
0.9%
2446964 1
 
0.9%
2455469 1
 
0.9%
2460676 1
 
0.9%
2460675 1
 
0.9%
2460674 1
 
0.9%
2460673 1
 
0.9%
2460672 1
 
0.9%
Other values (105) 105
91.3%
ValueCountFrequency (%)
2383903 1
0.9%
2389268 1
0.9%
2399647 1
0.9%
2399849 1
0.9%
2399850 1
0.9%
2399851 1
0.9%
2400251 1
0.9%
2400623 1
0.9%
2401196 1
0.9%
2417325 1
0.9%
ValueCountFrequency (%)
2609164 1
0.9%
2573205 1
0.9%
2545176 1
0.9%
2519154 1
0.9%
2518000 1
0.9%
2507417 1
0.9%
2497213 1
0.9%
2493227 1
0.9%
2493226 1
0.9%
2483156 1
0.9%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct52
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57274.757
Minimum1505
Maximum67907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-08-05T21:59:23.582894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1505
5-th percentile14055
Q152489
median62684
Q366207
95-th percentile66424.2
Maximum67907
Range66402
Interquartile range (IQR)13718

Descriptive statistics

Standard deviation14669.819
Coefficient of variation (CV)0.25613063
Kurtosis4.0613786
Mean57274.757
Median Absolute Deviation (MAD)3523
Skewness-2.1639865
Sum6586597
Variance2.152036 × 108
MonotonicityNot monotonic
2023-08-05T21:59:23.743808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66334 13
 
11.3%
52489 10
 
8.7%
59931 9
 
7.8%
62684 7
 
6.1%
66166 6
 
5.2%
14055 6
 
5.2%
66207 6
 
5.2%
49382 5
 
4.3%
67080 2
 
1.7%
65894 2
 
1.7%
Other values (42) 49
42.6%
ValueCountFrequency (%)
1505 1
 
0.9%
14055 6
5.2%
17584 1
 
0.9%
24313 1
 
0.9%
28359 1
 
0.9%
36907 1
 
0.9%
38241 1
 
0.9%
42899 1
 
0.9%
43207 1
 
0.9%
44903 1
 
0.9%
ValueCountFrequency (%)
67907 1
 
0.9%
67883 1
 
0.9%
67532 1
 
0.9%
67080 2
 
1.7%
66441 1
 
0.9%
66417 2
 
1.7%
66384 1
 
0.9%
66334 13
11.3%
66248 1
 
0.9%
66233 1
 
0.9%

url
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-08-05T21:59:24.131667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length139
Median length93
Mean length77.469565
Min length59

Characters and Unicode

Total characters8909
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2455407/nu-pogodi-kanikuly-1x21-stop-snato
2nd rowhttps://www.tvmaze.com/episodes/2455408/nu-pogodi-kanikuly-1x22-vyzov
3rd rowhttps://www.tvmaze.com/episodes/2468208/kot-basik-1x01-komputernaa-mys
4th rowhttps://www.tvmaze.com/episodes/2468209/kot-basik-1x02-pervoprohodec
5th rowhttps://www.tvmaze.com/episodes/2468210/kot-basik-1x03-kogtetocka
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2455407/nu-pogodi-kanikuly-1x21-stop-snato 1
 
0.9%
https://www.tvmaze.com/episodes/2471847/call-me-detective-incense-1x16-episode-16 1
 
0.9%
https://www.tvmaze.com/episodes/2468208/kot-basik-1x01-komputernaa-mys 1
 
0.9%
https://www.tvmaze.com/episodes/2468209/kot-basik-1x02-pervoprohodec 1
 
0.9%
https://www.tvmaze.com/episodes/2468210/kot-basik-1x03-kogtetocka 1
 
0.9%
https://www.tvmaze.com/episodes/2468211/kot-basik-1x04-kak-razvlec-pitomca 1
 
0.9%
https://www.tvmaze.com/episodes/2468212/kot-basik-1x05-vysokaa-kuhna 1
 
0.9%
https://www.tvmaze.com/episodes/2468213/kot-basik-1x06-korobka 1
 
0.9%
https://www.tvmaze.com/episodes/2468214/kot-basik-1x07-polosa-prepatstvij 1
 
0.9%
https://www.tvmaze.com/episodes/2468215/kot-basik-1x08-elka 1
 
0.9%
Other values (105) 105
91.3%
2023-08-05T21:59:24.582529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 700
 
7.9%
- 681
 
7.6%
s 585
 
6.6%
/ 575
 
6.5%
t 544
 
6.1%
o 542
 
6.1%
a 387
 
4.3%
w 368
 
4.1%
i 367
 
4.1%
p 325
 
3.6%
Other values (30) 3835
43.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6036
67.8%
Decimal Number 1272
 
14.3%
Other Punctuation 920
 
10.3%
Dash Punctuation 681
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 700
11.6%
s 585
 
9.7%
t 544
 
9.0%
o 542
 
9.0%
a 387
 
6.4%
w 368
 
6.1%
i 367
 
6.1%
p 325
 
5.4%
m 303
 
5.0%
d 260
 
4.3%
Other values (16) 1655
27.4%
Decimal Number
ValueCountFrequency (%)
1 248
19.5%
2 237
18.6%
4 180
14.2%
0 135
10.6%
5 119
9.4%
6 110
8.6%
3 79
 
6.2%
8 58
 
4.6%
9 53
 
4.2%
7 53
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 575
62.5%
. 230
 
25.0%
: 115
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 681
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6036
67.8%
Common 2873
32.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 700
11.6%
s 585
 
9.7%
t 544
 
9.0%
o 542
 
9.0%
a 387
 
6.4%
w 368
 
6.1%
i 367
 
6.1%
p 325
 
5.4%
m 303
 
5.0%
d 260
 
4.3%
Other values (16) 1655
27.4%
Common
ValueCountFrequency (%)
- 681
23.7%
/ 575
20.0%
1 248
 
8.6%
2 237
 
8.2%
. 230
 
8.0%
4 180
 
6.3%
0 135
 
4.7%
5 119
 
4.1%
: 115
 
4.0%
6 110
 
3.8%
Other values (4) 243
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 700
 
7.9%
- 681
 
7.6%
s 585
 
6.6%
/ 575
 
6.5%
t 544
 
6.1%
o 542
 
6.1%
a 387
 
4.3%
w 368
 
4.1%
i 367
 
4.1%
p 325
 
3.6%
Other values (30) 3835
43.0%

name
Text

Distinct97
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-08-05T21:59:24.892021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length61
Mean length16.304348
Min length4

Characters and Unicode

Total characters1875
Distinct characters133
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)73.0%

Sample

1st rowСтоп! Снято!
2nd rowВызов
3rd rowКомпьютерная мышь
4th rowПервопроходец
5th rowКогтеточка
ValueCountFrequency (%)
episode 44
 
13.1%
8
 
2.4%
the 8
 
2.4%
of 6
 
1.8%
and 4
 
1.2%
6 4
 
1.2%
1 4
 
1.2%
7 3
 
0.9%
4 3
 
0.9%
do 3
 
0.9%
Other values (217) 248
74.0%
2023-08-05T21:59:25.368618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
11.7%
e 122
 
6.5%
o 117
 
6.2%
s 93
 
5.0%
a 87
 
4.6%
i 86
 
4.6%
d 79
 
4.2%
p 64
 
3.4%
r 58
 
3.1%
E 48
 
2.6%
Other values (123) 901
48.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1230
65.6%
Uppercase Letter 266
 
14.2%
Space Separator 220
 
11.7%
Decimal Number 105
 
5.6%
Other Punctuation 30
 
1.6%
Math Symbol 8
 
0.4%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Dash Punctuation 3
 
0.2%
Final Punctuation 2
 
0.1%
Other values (2) 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 122
 
9.9%
o 117
 
9.5%
s 93
 
7.6%
a 87
 
7.1%
i 86
 
7.0%
d 79
 
6.4%
p 64
 
5.2%
r 58
 
4.7%
t 43
 
3.5%
n 41
 
3.3%
Other values (51) 440
35.8%
Uppercase Letter
ValueCountFrequency (%)
E 48
 
18.0%
T 14
 
5.3%
B 13
 
4.9%
C 12
 
4.5%
O 11
 
4.1%
D 10
 
3.8%
S 10
 
3.8%
К 9
 
3.4%
M 8
 
3.0%
W 8
 
3.0%
Other values (35) 123
46.2%
Decimal Number
ValueCountFrequency (%)
1 26
24.8%
2 24
22.9%
5 10
 
9.5%
4 10
 
9.5%
0 8
 
7.6%
6 7
 
6.7%
7 6
 
5.7%
3 6
 
5.7%
8 4
 
3.8%
9 4
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 10
33.3%
! 6
20.0%
. 5
16.7%
' 3
 
10.0%
: 2
 
6.7%
/ 2
 
6.7%
# 1
 
3.3%
¡ 1
 
3.3%
Math Symbol
ValueCountFrequency (%)
+ 4
50.0%
| 4
50.0%
Space Separator
ValueCountFrequency (%)
220
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Final Punctuation
ValueCountFrequency (%)
» 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 2
100.0%
Nonspacing Mark
ValueCountFrequency (%)
̆ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1141
60.9%
Common 378
 
20.2%
Cyrillic 355
 
18.9%
Inherited 1
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 122
 
10.7%
o 117
 
10.3%
s 93
 
8.2%
a 87
 
7.6%
i 86
 
7.5%
d 79
 
6.9%
p 64
 
5.6%
r 58
 
5.1%
E 48
 
4.2%
t 43
 
3.8%
Other values (44) 344
30.1%
Cyrillic
ValueCountFrequency (%)
а 29
 
8.2%
о 28
 
7.9%
е 22
 
6.2%
т 18
 
5.1%
к 17
 
4.8%
и 15
 
4.2%
н 14
 
3.9%
с 14
 
3.9%
в 12
 
3.4%
р 12
 
3.4%
Other values (42) 174
49.0%
Common
ValueCountFrequency (%)
220
58.2%
1 26
 
6.9%
2 24
 
6.3%
5 10
 
2.6%
4 10
 
2.6%
, 10
 
2.6%
0 8
 
2.1%
6 7
 
1.9%
7 6
 
1.6%
3 6
 
1.6%
Other values (16) 51
 
13.5%
Inherited
ValueCountFrequency (%)
̆ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1507
80.4%
Cyrillic 355
 
18.9%
None 12
 
0.6%
Diacriticals 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
14.6%
e 122
 
8.1%
o 117
 
7.8%
s 93
 
6.2%
a 87
 
5.8%
i 86
 
5.7%
d 79
 
5.2%
p 64
 
4.2%
r 58
 
3.8%
E 48
 
3.2%
Other values (62) 533
35.4%
Cyrillic
ValueCountFrequency (%)
а 29
 
8.2%
о 28
 
7.9%
е 22
 
6.2%
т 18
 
5.1%
к 17
 
4.8%
и 15
 
4.2%
н 14
 
3.9%
с 14
 
3.9%
в 12
 
3.4%
р 12
 
3.4%
Other values (42) 174
49.0%
None
ValueCountFrequency (%)
ç 2
16.7%
í 2
16.7%
» 2
16.7%
« 2
16.7%
é 1
8.3%
ô 1
8.3%
¡ 1
8.3%
ã 1
8.3%
Diacriticals
ValueCountFrequency (%)
̆ 1
100.0%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.678261
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-08-05T21:59:25.531928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile11
Maximum2022
Range2021
Interquartile range (IQR)2

Descriptive statistics

Standard deviation265.19462
Coefficient of variation (CV)7.0383986
Kurtosis54.885844
Mean37.678261
Median Absolute Deviation (MAD)0
Skewness7.4773036
Sum4333
Variance70328.185
MonotonicityNot monotonic
2023-08-05T21:59:25.701944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 81
70.4%
3 14
 
12.2%
11 6
 
5.2%
5 4
 
3.5%
4 4
 
3.5%
2 2
 
1.7%
2022 2
 
1.7%
10 1
 
0.9%
50 1
 
0.9%
ValueCountFrequency (%)
1 81
70.4%
2 2
 
1.7%
3 14
 
12.2%
4 4
 
3.5%
5 4
 
3.5%
10 1
 
0.9%
11 6
 
5.2%
50 1
 
0.9%
2022 2
 
1.7%
ValueCountFrequency (%)
2022 2
 
1.7%
50 1
 
0.9%
11 6
 
5.2%
10 1
 
0.9%
5 4
 
3.5%
4 4
 
3.5%
3 14
 
12.2%
2 2
 
1.7%
1 81
70.4%

number
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct34
Distinct (%)31.2%
Missing6
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean15.201835
Minimum1
Maximum293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-08-05T21:59:25.838371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q318
95-th percentile40
Maximum293
Range292
Interquartile range (IQR)14

Descriptive statistics

Standard deviation31.911272
Coefficient of variation (CV)2.0991724
Kurtosis55.948526
Mean15.201835
Median Absolute Deviation (MAD)4
Skewness6.9205633
Sum1657
Variance1018.3293
MonotonicityNot monotonic
2023-08-05T21:59:25.982594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 9
 
7.8%
6 9
 
7.8%
1 8
 
7.0%
2 8
 
7.0%
4 8
 
7.0%
5 7
 
6.1%
7 7
 
6.1%
8 5
 
4.3%
9 4
 
3.5%
21 4
 
3.5%
Other values (24) 40
34.8%
(Missing) 6
 
5.2%
ValueCountFrequency (%)
1 8
7.0%
2 8
7.0%
3 9
7.8%
4 8
7.0%
5 7
6.1%
6 9
7.8%
7 7
6.1%
8 5
4.3%
9 4
3.5%
10 3
 
2.6%
ValueCountFrequency (%)
293 1
0.9%
145 1
0.9%
70 1
0.9%
52 2
1.7%
46 1
0.9%
31 1
0.9%
30 1
0.9%
27 1
0.9%
26 1
0.9%
25 1
0.9%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
regular
109 
insignificant_special
 
4
significant_special
 
2

Length

Max length21
Median length7
Mean length7.6956522
Min length7

Characters and Unicode

Total characters885
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 109
94.8%
insignificant_special 4
 
3.5%
significant_special 2
 
1.7%

Length

2023-08-05T21:59:26.131490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T21:59:26.245844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 109
94.8%
insignificant_special 4
 
3.5%
significant_special 2
 
1.7%

Most occurring characters

ValueCountFrequency (%)
r 218
24.6%
a 121
13.7%
e 115
13.0%
g 115
13.0%
l 115
13.0%
u 109
12.3%
i 28
 
3.2%
n 16
 
1.8%
s 12
 
1.4%
c 12
 
1.4%
Other values (4) 24
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 879
99.3%
Connector Punctuation 6
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 218
24.8%
a 121
13.8%
e 115
13.1%
g 115
13.1%
l 115
13.1%
u 109
12.4%
i 28
 
3.2%
n 16
 
1.8%
s 12
 
1.4%
c 12
 
1.4%
Other values (3) 18
 
2.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 879
99.3%
Common 6
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 218
24.8%
a 121
13.8%
e 115
13.1%
g 115
13.1%
l 115
13.1%
u 109
12.4%
i 28
 
3.2%
n 16
 
1.8%
s 12
 
1.4%
c 12
 
1.4%
Other values (3) 18
 
2.0%
Common
ValueCountFrequency (%)
_ 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 885
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 218
24.6%
a 121
13.7%
e 115
13.0%
g 115
13.0%
l 115
13.0%
u 109
12.3%
i 28
 
3.2%
n 16
 
1.8%
s 12
 
1.4%
c 12
 
1.4%
Other values (4) 24
 
2.7%

airdate
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2022-12-25 00:00:00
Maximum2022-12-25 00:00:00
2023-08-05T21:59:26.343589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:26.449218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

airtime
Date

MISSING 

Distinct11
Distinct (%)28.9%
Missing77
Missing (%)67.0%
Memory size1.0 KiB
Minimum2023-08-05 09:30:00
Maximum2023-08-05 22:30:00
2023-08-05T21:59:26.555542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:26.677350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
Distinct18
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2022-12-24 22:00:00+00:00
Maximum2022-12-25 19:25:00+00:00
2023-08-05T21:59:26.797833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:26.943203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

runtime
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)37.6%
Missing6
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean30.357798
Minimum2
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-08-05T21:59:27.102103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q110
median33
Q342
95-th percentile62.4
Maximum120
Range118
Interquartile range (IQR)32

Descriptive statistics

Standard deviation20.975525
Coefficient of variation (CV)0.69094355
Kurtosis2.2358819
Mean30.357798
Median Absolute Deviation (MAD)12
Skewness0.89676124
Sum3309
Variance439.97265
MonotonicityNot monotonic
2023-08-05T21:59:27.262796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
40 15
 
13.0%
3 13
 
11.3%
23 9
 
7.8%
45 9
 
7.8%
25 7
 
6.1%
5 4
 
3.5%
10 4
 
3.5%
7 3
 
2.6%
43 3
 
2.6%
36 3
 
2.6%
Other values (31) 39
33.9%
(Missing) 6
 
5.2%
ValueCountFrequency (%)
2 1
 
0.9%
3 13
11.3%
5 4
 
3.5%
6 2
 
1.7%
7 3
 
2.6%
8 1
 
0.9%
9 2
 
1.7%
10 4
 
3.5%
15 1
 
0.9%
18 1
 
0.9%
ValueCountFrequency (%)
120 1
0.9%
89 1
0.9%
78 1
0.9%
76 1
0.9%
69 1
0.9%
64 1
0.9%
60 1
0.9%
58 1
0.9%
55 1
0.9%
51 1
0.9%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.0 KiB

medium
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing63
Missing (%)54.8%
Memory size1.0 KiB
2023-08-05T21:59:27.495105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters3796
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1093497.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1093498.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/442/1105896.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/436/1092248.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/436/1091929.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/437/1093497.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1092172.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1092182.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/442/1105896.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1092248.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1091929.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1091930.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1091931.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1091932.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1092168.jpg 1
 
1.9%
Other values (42) 42
80.8%
2023-08-05T21:59:27.907437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 364
 
9.6%
a 312
 
8.2%
t 260
 
6.8%
s 260
 
6.8%
m 260
 
6.8%
p 208
 
5.5%
e 208
 
5.5%
. 156
 
4.1%
c 156
 
4.1%
d 156
 
4.1%
Other values (22) 1456
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2652
69.9%
Other Punctuation 572
 
15.1%
Decimal Number 520
 
13.7%
Connector Punctuation 52
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 312
11.8%
t 260
9.8%
s 260
9.8%
m 260
9.8%
p 208
 
7.8%
e 208
 
7.8%
c 156
 
5.9%
d 156
 
5.9%
i 156
 
5.9%
g 104
 
3.9%
Other values (8) 572
21.6%
Decimal Number
ValueCountFrequency (%)
1 125
24.0%
4 83
16.0%
9 63
12.1%
3 63
12.1%
0 56
10.8%
6 44
 
8.5%
2 28
 
5.4%
8 24
 
4.6%
7 17
 
3.3%
5 17
 
3.3%
Other Punctuation
ValueCountFrequency (%)
/ 364
63.6%
. 156
27.3%
: 52
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2652
69.9%
Common 1144
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 312
11.8%
t 260
9.8%
s 260
9.8%
m 260
9.8%
p 208
 
7.8%
e 208
 
7.8%
c 156
 
5.9%
d 156
 
5.9%
i 156
 
5.9%
g 104
 
3.9%
Other values (8) 572
21.6%
Common
ValueCountFrequency (%)
/ 364
31.8%
. 156
13.6%
1 125
 
10.9%
4 83
 
7.3%
9 63
 
5.5%
3 63
 
5.5%
0 56
 
4.9%
_ 52
 
4.5%
: 52
 
4.5%
6 44
 
3.8%
Other values (4) 86
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 364
 
9.6%
a 312
 
8.2%
t 260
 
6.8%
s 260
 
6.8%
m 260
 
6.8%
p 208
 
5.5%
e 208
 
5.5%
. 156
 
4.1%
c 156
 
4.1%
d 156
 
4.1%
Other values (22) 1456
38.4%

original
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing63
Missing (%)54.8%
Memory size1.0 KiB
2023-08-05T21:59:28.182559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters3900
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1093497.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1093498.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/442/1105896.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/436/1092248.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/436/1091929.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/437/1093497.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/436/1092172.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/436/1092182.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/442/1105896.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/436/1092248.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/436/1091929.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/436/1091930.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/436/1091931.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/436/1091932.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/436/1092168.jpg 1
 
1.9%
Other values (42) 42
80.8%
2023-08-05T21:59:28.589041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 364
 
9.3%
t 312
 
8.0%
a 260
 
6.7%
s 208
 
5.3%
o 208
 
5.3%
i 208
 
5.3%
m 156
 
4.0%
u 156
 
4.0%
e 156
 
4.0%
g 156
 
4.0%
Other values (23) 1716
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2756
70.7%
Other Punctuation 572
 
14.7%
Decimal Number 520
 
13.3%
Connector Punctuation 52
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 312
 
11.3%
a 260
 
9.4%
s 208
 
7.5%
o 208
 
7.5%
i 208
 
7.5%
m 156
 
5.7%
u 156
 
5.7%
e 156
 
5.7%
g 156
 
5.7%
c 156
 
5.7%
Other values (9) 780
28.3%
Decimal Number
ValueCountFrequency (%)
1 125
24.0%
4 83
16.0%
3 63
12.1%
9 63
12.1%
0 56
10.8%
6 44
 
8.5%
2 28
 
5.4%
8 24
 
4.6%
7 17
 
3.3%
5 17
 
3.3%
Other Punctuation
ValueCountFrequency (%)
/ 364
63.6%
. 156
27.3%
: 52
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2756
70.7%
Common 1144
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 312
 
11.3%
a 260
 
9.4%
s 208
 
7.5%
o 208
 
7.5%
i 208
 
7.5%
m 156
 
5.7%
u 156
 
5.7%
e 156
 
5.7%
g 156
 
5.7%
c 156
 
5.7%
Other values (9) 780
28.3%
Common
ValueCountFrequency (%)
/ 364
31.8%
. 156
13.6%
1 125
 
10.9%
4 83
 
7.3%
3 63
 
5.5%
9 63
 
5.5%
0 56
 
4.9%
_ 52
 
4.5%
: 52
 
4.5%
6 44
 
3.8%
Other values (4) 86
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 364
 
9.3%
t 312
 
8.0%
a 260
 
6.7%
s 208
 
5.3%
o 208
 
5.3%
i 208
 
5.3%
m 156
 
4.0%
u 156
 
4.0%
e 156
 
4.0%
g 156
 
4.0%
Other values (23) 1716
44.0%

_links_self
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-08-05T21:59:28.805344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters4485
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2455407
2nd rowhttps://api.tvmaze.com/episodes/2455408
3rd rowhttps://api.tvmaze.com/episodes/2468208
4th rowhttps://api.tvmaze.com/episodes/2468209
5th rowhttps://api.tvmaze.com/episodes/2468210
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2455407 1
 
0.9%
https://api.tvmaze.com/episodes/2471847 1
 
0.9%
https://api.tvmaze.com/episodes/2468208 1
 
0.9%
https://api.tvmaze.com/episodes/2468209 1
 
0.9%
https://api.tvmaze.com/episodes/2468210 1
 
0.9%
https://api.tvmaze.com/episodes/2468211 1
 
0.9%
https://api.tvmaze.com/episodes/2468212 1
 
0.9%
https://api.tvmaze.com/episodes/2468213 1
 
0.9%
https://api.tvmaze.com/episodes/2468214 1
 
0.9%
https://api.tvmaze.com/episodes/2468215 1
 
0.9%
Other values (105) 105
91.3%
2023-08-05T21:59:29.154736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 460
 
10.3%
p 345
 
7.7%
s 345
 
7.7%
e 345
 
7.7%
t 345
 
7.7%
o 230
 
5.1%
a 230
 
5.1%
i 230
 
5.1%
. 230
 
5.1%
m 230
 
5.1%
Other values (16) 1495
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2875
64.1%
Other Punctuation 805
 
17.9%
Decimal Number 805
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 345
12.0%
s 345
12.0%
e 345
12.0%
t 345
12.0%
o 230
8.0%
a 230
8.0%
i 230
8.0%
m 230
8.0%
h 115
 
4.0%
d 115
 
4.0%
Other values (3) 345
12.0%
Decimal Number
ValueCountFrequency (%)
2 171
21.2%
4 153
19.0%
6 90
11.2%
5 89
11.1%
1 87
10.8%
0 47
 
5.8%
8 47
 
5.8%
3 44
 
5.5%
9 40
 
5.0%
7 37
 
4.6%
Other Punctuation
ValueCountFrequency (%)
/ 460
57.1%
. 230
28.6%
: 115
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 2875
64.1%
Common 1610
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 460
28.6%
. 230
14.3%
2 171
 
10.6%
4 153
 
9.5%
: 115
 
7.1%
6 90
 
5.6%
5 89
 
5.5%
1 87
 
5.4%
0 47
 
2.9%
8 47
 
2.9%
Other values (3) 121
 
7.5%
Latin
ValueCountFrequency (%)
p 345
12.0%
s 345
12.0%
e 345
12.0%
t 345
12.0%
o 230
8.0%
a 230
8.0%
i 230
8.0%
m 230
8.0%
h 115
 
4.0%
d 115
 
4.0%
Other values (3) 345
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4485
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 460
 
10.3%
p 345
 
7.7%
s 345
 
7.7%
e 345
 
7.7%
t 345
 
7.7%
o 230
 
5.1%
a 230
 
5.1%
i 230
 
5.1%
. 230
 
5.1%
m 230
 
5.1%
Other values (16) 1495
33.3%
Distinct52
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-08-05T21:59:29.397275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.991304
Min length33

Characters and Unicode

Total characters3909
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)30.4%

Sample

1st rowhttps://api.tvmaze.com/shows/59537
2nd rowhttps://api.tvmaze.com/shows/59537
3rd rowhttps://api.tvmaze.com/shows/66334
4th rowhttps://api.tvmaze.com/shows/66334
5th rowhttps://api.tvmaze.com/shows/66334
ValueCountFrequency (%)
https://api.tvmaze.com/shows/66334 13
 
11.3%
https://api.tvmaze.com/shows/52489 10
 
8.7%
https://api.tvmaze.com/shows/59931 9
 
7.8%
https://api.tvmaze.com/shows/62684 7
 
6.1%
https://api.tvmaze.com/shows/66166 6
 
5.2%
https://api.tvmaze.com/shows/14055 6
 
5.2%
https://api.tvmaze.com/shows/66207 6
 
5.2%
https://api.tvmaze.com/shows/49382 5
 
4.3%
https://api.tvmaze.com/shows/61565 2
 
1.7%
https://api.tvmaze.com/shows/66417 2
 
1.7%
Other values (42) 49
42.6%
2023-08-05T21:59:29.782997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 460
 
11.8%
s 345
 
8.8%
t 345
 
8.8%
h 230
 
5.9%
p 230
 
5.9%
a 230
 
5.9%
. 230
 
5.9%
o 230
 
5.9%
m 230
 
5.9%
6 145
 
3.7%
Other values (16) 1234
31.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2530
64.7%
Other Punctuation 805
 
20.6%
Decimal Number 574
 
14.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 345
13.6%
t 345
13.6%
h 230
9.1%
p 230
9.1%
a 230
9.1%
o 230
9.1%
m 230
9.1%
e 115
 
4.5%
w 115
 
4.5%
c 115
 
4.5%
Other values (3) 345
13.6%
Decimal Number
ValueCountFrequency (%)
6 145
25.3%
4 67
11.7%
5 67
11.7%
3 63
11.0%
9 50
 
8.7%
2 44
 
7.7%
8 43
 
7.5%
1 41
 
7.1%
0 31
 
5.4%
7 23
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 460
57.1%
. 230
28.6%
: 115
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 2530
64.7%
Common 1379
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 460
33.4%
. 230
16.7%
6 145
 
10.5%
: 115
 
8.3%
4 67
 
4.9%
5 67
 
4.9%
3 63
 
4.6%
9 50
 
3.6%
2 44
 
3.2%
8 43
 
3.1%
Other values (3) 95
 
6.9%
Latin
ValueCountFrequency (%)
s 345
13.6%
t 345
13.6%
h 230
9.1%
p 230
9.1%
a 230
9.1%
o 230
9.1%
m 230
9.1%
e 115
 
4.5%
w 115
 
4.5%
c 115
 
4.5%
Other values (3) 345
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 460
 
11.8%
s 345
 
8.8%
t 345
 
8.8%
h 230
 
5.9%
p 230
 
5.9%
a 230
 
5.9%
. 230
 
5.9%
o 230
 
5.9%
m 230
 
5.9%
6 145
 
3.7%
Other values (16) 1234
31.6%

summary
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing67
Missing (%)58.3%
Memory size1.0 KiB
2023-08-05T21:59:30.110806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1051
Median length174.5
Mean length188.79167
Min length58

Characters and Unicode

Total characters9062
Distinct characters124
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row<p>The arrival of a member of parliament in Varjakka puts pressure on all sides, and the problems in Sanna and Lauri's private lives do not help the investigation. Leena secretly asks her daughter for help with a strange task.</p>
2nd row<p>1981. Marc is 16 years old and Lucas has already turned 18. Both adapt to their new life in Sueca, a Valencian town, where their parents have decided to move and where nobody knows the family secret they are dragging along. There, in the middle of the Fallas, Lucas and Marc will meet Toni, Nuria and Sento. And thanks to them, Lucas will set foot for the first time in a discotheque, Barraca, a place where he will finally be able to be himself.</p>
3rd row<p>The new age of conscription, special decorations for Moscow, Prigozhin and Morzyanka, Rogozin's injury, Zelensky in Bakhmut and the USA, snowfall like in 1941, Messi and a chicken egg.</p>
4th row<p>A tavern brawl puts Éile on a collision course with destiny, emotions get the best of Fjall after a close call, and a royal betrayal leads to bloodshed.</p>
5th row<p>In need of coin to fund their quest, Éile, Fjall and Scían hatch a risky scheme that leads to a firestorm of trouble. Merwyn stumbles on a secret.</p>
ValueCountFrequency (%)
the 66
 
4.4%
and 60
 
4.0%
to 60
 
4.0%
a 56
 
3.7%
of 29
 
1.9%
in 27
 
1.8%
with 23
 
1.5%
her 19
 
1.3%
their 16
 
1.1%
is 15
 
1.0%
Other values (763) 1141
75.5%
2023-08-05T21:59:30.599519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1461
16.1%
e 828
 
9.1%
a 610
 
6.7%
t 553
 
6.1%
n 494
 
5.5%
i 483
 
5.3%
s 460
 
5.1%
o 441
 
4.9%
r 433
 
4.8%
h 344
 
3.8%
Other values (114) 2955
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6775
74.8%
Space Separator 1464
 
16.2%
Uppercase Letter 304
 
3.4%
Other Punctuation 272
 
3.0%
Math Symbol 192
 
2.1%
Decimal Number 36
 
0.4%
Dash Punctuation 12
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 828
12.2%
a 610
 
9.0%
t 553
 
8.2%
n 494
 
7.3%
i 483
 
7.1%
s 460
 
6.8%
o 441
 
6.5%
r 433
 
6.4%
h 344
 
5.1%
l 269
 
4.0%
Other values (48) 1860
27.5%
Uppercase Letter
ValueCountFrequency (%)
A 37
 
12.2%
M 36
 
11.8%
C 26
 
8.6%
T 25
 
8.2%
N 17
 
5.6%
S 17
 
5.6%
L 16
 
5.3%
P 13
 
4.3%
F 12
 
3.9%
V 12
 
3.9%
Other values (25) 93
30.6%
Decimal Number
ValueCountFrequency (%)
1 8
22.2%
0 6
16.7%
8 6
16.7%
3 5
13.9%
9 3
 
8.3%
5 2
 
5.6%
2 2
 
5.6%
7 2
 
5.6%
4 1
 
2.8%
6 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 109
40.1%
, 69
25.4%
/ 48
17.6%
' 36
 
13.2%
" 4
 
1.5%
; 2
 
0.7%
2
 
0.7%
: 1
 
0.4%
? 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 7
58.3%
4
33.3%
1
 
8.3%
Space Separator
ValueCountFrequency (%)
1461
99.8%
  3
 
0.2%
Math Symbol
ValueCountFrequency (%)
< 96
50.0%
> 96
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 1
100.0%
Final Punctuation
ValueCountFrequency (%)
» 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6886
76.0%
Common 1983
 
21.9%
Cyrillic 193
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 828
12.0%
a 610
 
8.9%
t 553
 
8.0%
n 494
 
7.2%
i 483
 
7.0%
s 460
 
6.7%
o 441
 
6.4%
r 433
 
6.3%
h 344
 
5.0%
l 269
 
3.9%
Other values (45) 1971
28.6%
Cyrillic
ValueCountFrequency (%)
а 20
 
10.4%
е 19
 
9.8%
и 18
 
9.3%
т 16
 
8.3%
о 14
 
7.3%
н 10
 
5.2%
л 10
 
5.2%
с 9
 
4.7%
р 9
 
4.7%
в 6
 
3.1%
Other values (28) 62
32.1%
Common
ValueCountFrequency (%)
1461
73.7%
. 109
 
5.5%
< 96
 
4.8%
> 96
 
4.8%
, 69
 
3.5%
/ 48
 
2.4%
' 36
 
1.8%
1 8
 
0.4%
- 7
 
0.4%
0 6
 
0.3%
Other values (21) 47
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8837
97.5%
Cyrillic 193
 
2.1%
None 25
 
0.3%
Punctuation 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1461
16.5%
e 828
 
9.4%
a 610
 
6.9%
t 553
 
6.3%
n 494
 
5.6%
i 483
 
5.5%
s 460
 
5.2%
o 441
 
5.0%
r 433
 
4.9%
h 344
 
3.9%
Other values (66) 2730
30.9%
Cyrillic
ValueCountFrequency (%)
а 20
 
10.4%
е 19
 
9.8%
и 18
 
9.3%
т 16
 
8.3%
о 14
 
7.3%
н 10
 
5.2%
л 10
 
5.2%
с 9
 
4.7%
р 9
 
4.7%
в 6
 
3.1%
Other values (28) 62
32.1%
None
ValueCountFrequency (%)
á 10
40.0%
ã 5
20.0%
  3
 
12.0%
É 3
 
12.0%
í 2
 
8.0%
« 1
 
4.0%
» 1
 
4.0%
Punctuation
ValueCountFrequency (%)
4
57.1%
2
28.6%
1
 
14.3%

Interactions

2023-08-05T21:59:22.135944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:20.146690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:20.634807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.134037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.642838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:22.226470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:20.236334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:20.730339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.228432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.752022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:22.329189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:20.338337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:20.832299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.341816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.842561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:22.433810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:20.437469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:20.941067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.446656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.947732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:22.528224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:20.540867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.034764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:21.546659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T21:59:22.040983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T21:59:30.718443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetype
id1.0000.733-0.3510.178-0.3940.270
id_embedded0.7331.000-0.6360.002-0.3020.471
season-0.351-0.6361.0000.0470.1360.000
number0.1780.0020.0471.000-0.1871.000
runtime-0.394-0.3020.136-0.1871.0000.104
type0.2700.4710.0001.0000.1041.000

Missing values

2023-08-05T21:59:22.677118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T21:59:22.923320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T21:59:23.082446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0245540759537https://www.tvmaze.com/episodes/2455407/nu-pogodi-kanikuly-1x21-stop-snatoСтоп! Снято!121.0regular2022-12-2510:002022-12-24T22:00:00+00:007.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/437/1093497.jpghttps://static.tvmaze.com/uploads/images/original_untouched/437/1093497.jpghttps://api.tvmaze.com/episodes/2455407https://api.tvmaze.com/shows/59537None
1245540859537https://www.tvmaze.com/episodes/2455408/nu-pogodi-kanikuly-1x22-vyzovВызов122.0regular2022-12-2510:002022-12-24T22:00:00+00:007.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/437/1093498.jpghttps://static.tvmaze.com/uploads/images/original_untouched/437/1093498.jpghttps://api.tvmaze.com/episodes/2455408https://api.tvmaze.com/shows/59537None
2246820866334https://www.tvmaze.com/episodes/2468208/kot-basik-1x01-komputernaa-mysКомпьютерная мышь11.0regular2022-12-252022-12-25T00:00:00+00:003.0NoneNoneNonehttps://api.tvmaze.com/episodes/2468208https://api.tvmaze.com/shows/66334None
3246820966334https://www.tvmaze.com/episodes/2468209/kot-basik-1x02-pervoprohodecПервопроходец12.0regular2022-12-252022-12-25T00:00:00+00:003.0NoneNoneNonehttps://api.tvmaze.com/episodes/2468209https://api.tvmaze.com/shows/66334None
4246821066334https://www.tvmaze.com/episodes/2468210/kot-basik-1x03-kogtetockaКогтеточка13.0regular2022-12-252022-12-25T00:00:00+00:003.0NoneNoneNonehttps://api.tvmaze.com/episodes/2468210https://api.tvmaze.com/shows/66334None
5246821166334https://www.tvmaze.com/episodes/2468211/kot-basik-1x04-kak-razvlec-pitomcaКак развлечь питомца14.0regular2022-12-252022-12-25T00:00:00+00:003.0NoneNoneNonehttps://api.tvmaze.com/episodes/2468211https://api.tvmaze.com/shows/66334None
6246821266334https://www.tvmaze.com/episodes/2468212/kot-basik-1x05-vysokaa-kuhnaВысокая кухня15.0regular2022-12-252022-12-25T00:00:00+00:003.0NoneNoneNonehttps://api.tvmaze.com/episodes/2468212https://api.tvmaze.com/shows/66334None
7246821366334https://www.tvmaze.com/episodes/2468213/kot-basik-1x06-korobkaКоробка16.0regular2022-12-252022-12-25T00:00:00+00:003.0NoneNoneNonehttps://api.tvmaze.com/episodes/2468213https://api.tvmaze.com/shows/66334None
8246821466334https://www.tvmaze.com/episodes/2468214/kot-basik-1x07-polosa-prepatstvijПолоса препятствий17.0regular2022-12-252022-12-25T00:00:00+00:003.0NoneNoneNonehttps://api.tvmaze.com/episodes/2468214https://api.tvmaze.com/shows/66334None
9246821566334https://www.tvmaze.com/episodes/2468215/kot-basik-1x08-elkaЁлка18.0regular2022-12-252022-12-25T00:00:00+00:003.0NoneNoneNonehttps://api.tvmaze.com/episodes/2468215https://api.tvmaze.com/shows/66334None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
105245191714055https://www.tvmaze.com/episodes/2451917/letterkenny-11x02-okoyaOkoya112.0regular2022-12-252022-12-25T16:00:00+00:0025.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1092301.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1092301.jpghttps://api.tvmaze.com/episodes/2451917https://api.tvmaze.com/shows/14055<p>When a theft occurs at the Church Bake Sale, Glen recruits the residents of Letterkenny to help solve the case.</p>
106245191814055https://www.tvmaze.com/episodes/2451918/letterkenny-11x03-lost-dogLost Dog113.0regular2022-12-252022-12-25T16:00:00+00:0025.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1092302.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1092302.jpghttps://api.tvmaze.com/episodes/2451918https://api.tvmaze.com/shows/14055<p>The town searches for a lost dog. The hockey players have unwanted guests at their beer league game.</p>
107245191914055https://www.tvmaze.com/episodes/2451919/letterkenny-11x04-nudesNudes114.0regular2022-12-252022-12-25T16:00:00+00:0025.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1092303.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1092303.jpghttps://api.tvmaze.com/episodes/2451919https://api.tvmaze.com/shows/14055<p>A nude travels through town. The Skids work to improve their business.</p>
108245192014055https://www.tvmaze.com/episodes/2451920/letterkenny-11x05-influenzasInfluenzas115.0regular2022-12-252022-12-25T16:00:00+00:0025.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1092304.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1092304.jpghttps://api.tvmaze.com/episodes/2451920https://api.tvmaze.com/shows/14055<p>Influencers descend on Letterkenny. Coach teaches Mary-Anne and Lucy-Anne the fine art of Coaching.</p>
109245192114055https://www.tvmaze.com/episodes/2451921/letterkenny-11x06-degensDegens116.0regular2022-12-252022-12-25T16:00:00+00:0025.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1092305.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1092305.jpghttps://api.tvmaze.com/episodes/2451921https://api.tvmaze.com/shows/14055<p>Jivin' Pete and the Degens are stirring up trouble.</p>
110248315617584https://www.tvmaze.com/episodes/2483156/this-week-in-tech-2022-12-25-the-old-guys-look-backThe Old Guys Look Back202252.0regular2022-12-252022-12-25T17:00:00+00:00120.0NoneNoneNonehttps://api.tvmaze.com/episodes/2483156https://api.tvmaze.com/shows/17584None
111242846243207https://www.tvmaze.com/episodes/2428462/peytons-places-3x09-football-under-the-christmas-treeFootball Under the Christmas Tree39.0regular2022-12-252022-12-25T17:00:00+00:0018.0NoneNoneNonehttps://api.tvmaze.com/episodes/2428462https://api.tvmaze.com/shows/43207<p>Peyton is making a list and checking it twice to show how a Christmas present changed football forever and bringing some holiday cheer to Philadelphia's boo birds.</p>
112245767065874https://www.tvmaze.com/episodes/2457670/blueface-chrisean-crazy-in-love-1x03-just-do-youJUST DO YOU13.0regular2022-12-252022-12-25T17:00:00+00:00NaNNoneNoneNonehttps://api.tvmaze.com/episodes/2457670https://api.tvmaze.com/shows/65874None
113257320566090https://www.tvmaze.com/episodes/2573205/upa-next-1x01-capitulo-1Capítulo 111.0regular2022-12-2520:002022-12-25T19:00:00+00:0058.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/465/1164057.jpghttps://static.tvmaze.com/uploads/images/original_untouched/465/1164057.jpghttps://api.tvmaze.com/episodes/2573205https://api.tvmaze.com/shows/66090None
114244366438241https://www.tvmaze.com/episodes/2443664/ghosts-s04-special-its-behind-youIt's Behind You4NaNsignificant_special2022-12-2519:252022-12-25T19:25:00+00:0030.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1091976.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1091976.jpghttps://api.tvmaze.com/episodes/2443664https://api.tvmaze.com/shows/38241<p>It's Christmas at Button House and Mike and Alison are heading to Mike's parents to celebrate with family. As Mike piles up the Tupperware with what he insists are only side dishes (despite one clearly being an entire turkey), Kitty expresses her disappointment at not spending Christmas day with Alison. Alison promises that they'll be back by the evening and what's more, reveals to the ghosts that there is a Christmas surprise for each of them in the Library. She gives them strict instructions not to 'open' their gifts until Christmas day, which leaves Julian struggling with temptation. The ghosts are touched by Alison's thoughtful generosity and are inspired to give her a special Christmas present to remember – but with Alison due back in a matter of hours, can they pull off their ambitious idea in time? Mike's loaded Tupperware comes in handy when their journey hits a bump in the road, forcing them to reassess their Christmas day plans. Kitty gets her moment in the spotlight and a much-needed pep talk from a surprising source.</p>